Real Examples of Why We Need Context for Responsible AI
By Jocelyn Hoppa
November 12, 2019 8 mins read
Read part one of this two-part series on responsible AI. Discover real-world examples of the myths,., biases and more that currently surround AI.
Explore: ai myths • AI standards • artificial intelligence • biased ai • data scientists • inappropriate ai • machine learning • national institute for standards and tools • neo4j • NIST
How Boston Scientific Improves Manufacturing Quality Using Graph Analytics
By Corin Gainey
October 16, 2019 20 mins read
Editor’s Note: This presentation was given by Eric Wespi and Eric Spiegelburg at GraphConnect New York in September 2018. Presentation Summary We’re going to talk about some project themes that make sense when you’re going about developing a graph project.… Read more →
Explore: artificial intelligence • Connected Data • cypher • graph database • GraphAware Hume • graphconnect • Hume • machine learning • neo4j • nlp
Live from Lyft: Q&A with Mark Grover, Product Manager at Lyft
By Corin Gainey
September 26, 2019 5 mins read
Discover how Lyft has integrated Neo4j into their data sharing process and how they test information integrity with Amundsen.
Explore: Connected Data • data discovery • data model • Data Visualization • ETL tool • graph database • graph technology • Knowledge Graph • Lyft • machine learning
How Graphs Enhance Artificial Intelligence
By Jocelyn Hoppa
September 18, 2019 11 mins read
Explore the increasing impact of graph technology on artificial intelligence and the steps toward enhancing AI and ML with a graph database.
Explore: ai • artificial intelligence • feature engineering • graph embeddings • graphconnect • knowledge graphs • machine learning • ML • native learning • neural networks
DeepWalk: Implementing Graph Embeddings in Neo4j
By Jocelyn Hoppa
September 12, 2019 10 mins read
Discover tips and strategies for implementing graph embedding into a Neo4j graph database, with plenty of Cypher examples.
Explore: artificial intelligence • community detection algorithm • deep learning • DeepWalk • graph algorithms • Graph Analytics • graph database • graph embeddings • java • machine learning
AI & Graph Technology: AI Explainability
By David Penick
August 26, 2019 3 mins read
Read the fifth and final installment of our blog series on artificial intelligence and the ways AI explainability adds context for credibility.
Explore: AI / Machine Learning • blog • graph database • Graph Databases • graph platform • graph technology • Knowledge Graph • machine learning • neo4j
AI & Graph Technology: Connections Improve Accuracy
By David Penick
August 19, 2019 2 mins read
Read the fourth installment of this blog series on artificial intelligence on the ways connected feature extraction analyzes data.
Explore: AI / Machine Learning • connected features • graph algorithms • Graph Analytics • graph database • graph platform • Knowledge Graph • machine learning • neo4j • Neo4j Graph Platform
Visualizing This Week in Tech
By Jocelyn Hoppa
August 15, 2019 6 mins read
Learn how to visualize common elements amongst the barrage of weekly tech stories with knowledge graphs and machine learning techniques.
Explore: ai • cypher • Data Visualization • Doc2Vec • graph algorithms • graph model • Knowledge Graph • machine learning • Named Entity Recognition • natural language understanding
AI & Graph Technology: What Are Knowledge Graphs?
By David Penick
August 5, 2019 4 mins read
Read the second installment of this blog series on artificial intelligence on the ways knowledge graphs add context for decision support.
Explore: AI / Machine Learning • artificial intelligence • Graph Algorithm • graph algorithms • graph database • graph technology • Knowledge Graph • machine learning • natural language processing • neo4j
AI and Graph Technology: 4 Ways Graphs Add Context
By David Penick
July 29, 2019 5 mins read
Read the first installment of this blog series on artificial intelligence on the ways graph technology adds necessary context for powerful AI solutions.
Explore: ai • AI explainability • artificial intelligence • deep learning • graph algorithms • graph database • Graph Databases • graph technology • knowledge graphs • machine learning
Toward AI Standards: Context Makes AI More Reliable and Trustworthy
By Jocelyn Hoppa
July 22, 2019 6 mins read
Discover why native graph technology is the key to making artificial intelligence and machine learning more reliable and trustworthy.
Explore: AI solutions • AI standards • contextual information • corporate fraud • data lineage • GDPR • graph technology • Knowledge Graph • machine learning • native graph
Graphs in Banking: Integration with AI & Machine Learning [Video]
By Allison Wu
July 16, 2019 1 min read
Check out this webinar on graph technology within the financial services industry, featuring use cases on fraud detection, MDM and IAM.
Explore: ai • banking • financial services • fraud • graph database • iam • machine learning • Master Data Management • MDM • webinar
Toward AI Standards: Context Makes AI More Robust
By Jocelyn Hoppa
July 15, 2019 4 mins read
Read this third blog in our series “Toward AI Standards” and discover how graph technology adds context to data relationships for more robust AI solutions.
Explore: ai • AI application • AI solution • Boeing • chatbot • Data Relationships • fraud detection • graph algorithms • graph analysis • graph platform
Deciphering Product DNA: Next-Level PDM with AI & Knowledge Graphs
By Jocelyn Hoppa
July 9, 2019 4 mins read
Increasingly complex products undoubtedly require greater management of components, function and data. Classic product data management (PDM) has long reach its limits in this respect. Breaking down product DNA is now driven by artificial intelligence (AI) and knowledge graphs. In… Read more →
Explore: ai • artificial intelligence • bill of materials • ERP • knowledge graphs • machine learning • manufacturers • natural language processing • pdm • PIM
Liberating Knowledge: Machine Learning Techniques with Neo4j
By Jocelyn Hoppa
July 3, 2019 13 mins read
Explore how Hume leverages natural language understanding, graph analytics and AI capabilities to connect data and share knowledge.
Explore: ai • Connected Data • Graph Analytics • graph-based search • graphconnect • Hume • Knowledge Graph • machine learning • natural language understanding • neo4j
Toward AI Standards: Graph Technology for Responsible AI
By Jocelyn Hoppa
July 2, 2019 3 mins read
Read the first installment of this four-part series on how graphs provide the context artificial intellingence needs to remain reliable and trustworthy.
Explore: AI applications • AI solutions • Amazon • artificial intelligence • contextual information • decision path • graph platforms • graph technology • machine learning • twitter
Graphs in Automotive & Manufacturing: Unlock New Value from Your Data [Video]
By Allison Wu
June 27, 2019 1 min read
Check out this webinar on using graph database technology in the manufacturing and automotive industries, including the use of graph algorithms in AI.
Explore: ai • artificial intelligence • automotive • bill of materials • graph algorithms • logistics • machine learning • manufacturing • supply chain management • webinar
Toward AI Standards: Why Context Is Critical for Artificial Intelligence
By Bryce Merkl Sasaki
June 24, 2019 3 mins read
Learn what Neo4j CEO Emil Eifrem believes is the most critical component of both technical and ethical standards for AI – and how we might make it happen.
Explore: ai • AI standards • artificial intelligence • graph technology • Knowledge Graph • logic processing • machine learning • National Institute of Standards and Technology • NIST • Panama Papers
Improving Machine Learning Predictions Using Graph Algorithms [Video]
By Bryce Merkl Sasaki
June 20, 2019 1 min read
Watch this webinar on how graph algorithms are reinventing the field of intelligent applications by improving the predictability of AI and ML models.
Explore: ai • artificial intelligence • feature selection • graph algorithms • link prediction • machine learning • machine learning predictions • ML • overfitting • webinar
From Collections to Connections: Where Hadoop Adoption Goes from Here
By Jocelyn Hoppa
June 13, 2019 4 mins read
Learn about the evolving world of big data and how the industry is increasingly interested in connecting data rather than just collecting it.
Explore: ai • Big Data • Connected Data • data lake • data management • Data Relationships • data swamp • Data Warehousing • Hadoop • machine learning
The Present and Future of Artificial Intelligence and Machine Learning
By Jocelyn Hoppa
June 12, 2019 18 mins read
Discover how we can methodically explore capabilities related to artificial intelligence and machine learning to successfully predict the future.
Explore: ai • AI ethics • AI technology • artificial intelligence • Big Data • graphconnect • machine learning • machine learning technology • modern computing • natural language generation
NODES 2019: Launching the Neo4j Online Developer Expo & Summit!
By Bryce Merkl Sasaki
June 5, 2019 3 mins read
Discover what’s in store for Neo4j’s first-ever online summit built just for developers, engineers, data scientists and graphistas from around the globe.
Explore: ai • APOC • cypher • GRANDstack • graph algorithms • graphHack • machine learning • Neo4j Community • nodes • Recommendation Engines
15 Years Loving Graphs: Big Congrats & Thanks to Our Italian Partner LARUS
By Michael Hunger, Developer Relations
May 24, 2019 4 mins read
I just returned from Venice, where enjoyed not only the weather and food but … Had an amazing time in Venice, Italy to celebrate the 15th anniversary of our friends and partners from @AgileLARUS. Thanks a lot @inserpio for the… Read more →
Explore: APOC • etl • Graph Analytics • Kafka • Larus • machine learning • Neo4j ETL • Neo4j Kafka integration • Neo4j Labs • Neo4j partner
Think About What You’re Building: 5-Minute Interview with Stephen O’Grady
By Jocelyn Hoppa
May 17, 2019 3 mins read
Check out this 5-minute interview with Stephen O’Grady, Co-Found of Redmonk, on how developers should consider the broader implications of what they build.
Explore: 5-minute interview • artificial intelligence • deep learning • graph database • graph technology • Hillary Mason • IoT • machine learning • neo4j • Stephen O'Grady
#GraphCast: How Graphs Are Used around the Globe
By Bryce Merkl Sasaki
May 10, 2019 2 mins read
Check out this week’s #GraphCast, featuring graph technology users from around the world talking about how they use Neo4j to solve connected data problems.
Explore: Adobe • Data Visualization • Global Graph Celebration Day • Graph Theory • GraphCast • Leonhard Euler • machine learning • nasa • Neo4j Bloom • Panama Papers
